An Empathy and Arts Curriculum During a Pediatrics Clerkship: Impact on Student Empathy and Behavior
Bibliographic record
Abstract
Introduction: Empathy is critical within medicine and improves patient outcomes and satisfaction. Empathy declines during the clerkship years due to the hidden curriculum, where students observe emotional distancing and desensitization by providers. Studies show arts curricula can preserve empathy but are limited by sample bias and preclerkship occurrence. We implemented and evaluated a brief pediatric clerkship arts curriculum to improve empathic behaviors. Methods: We created two 1-hour required small-group sessions for pediatric clerkship medical students. The first session paired arts observation techniques with various paintings. The students then applied these techniques to video-based simulated patient interactions in the second session. We used the Toronto Empathy Questionnaire (TEQ) and an empathy behavior checklist (EBC) as pre/post assessments to gauge self-reported empathy and empathetic behaviors. We compared responses of learners who attended the sessions (curriculum group) to learners unable to attend (control group). Results: < .05). Discussion: Our work suggests that a brief clerkship arts curriculum is useful for improving self-reported empathy ratings and empathetic skills, particularly for students identified as having below-average empathy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".